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Frequency-Dependent Selection Predicts Patterns of Radiations and Biodiversity
 

Summary: Frequency-Dependent Selection Predicts Patterns of
Radiations and Biodiversity
Carlos J. Melia´n1,2
*, David Alonso3
, Diego P. Va´zquez4,5
, James Regetz1
, Stefano Allesina6
1 National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara, Santa Barbara, California, United States of America, 2 Center for Ecology,
Evolution and Biogeochemistry, Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland, 3 Community and Conservation Ecology Group,
University of Groningen, Groningen, The Netherlands, 4 Instituto Argentino de Investigaciones de las Zonas A´ ridas, Consejo Nacional de Investigaciones Cienti´ficas y
Te´cnicas, Mendoza, Argentina, 5 Instituto de Ciencias Ba´sicas, Universidad Nacional de Cuyo, Centro Universitario, Mendoza, Argentina, 6 Department of Ecology and
Evolution, University of Chicago, Chicago, Illinois, United States of America
Abstract
Most empirical studies support a decline in speciation rates through time, although evidence for constant speciation rates
also exists. Declining rates have been explained by invoking pre-existing niches, whereas constant rates have been
attributed to non-adaptive processes such as sexual selection and mutation. Trends in speciation rate and the processes
underlying it remain unclear, representing a critical information gap in understanding patterns of global diversity. Here we
show that the temporal trend in the speciation rate can also be explained by frequency-dependent selection. We construct
a frequency-dependent and DNA sequence-based model of speciation. We compare our model to empirical diversity
patterns observed for cichlid fish and Darwin's finches, two classic systems for which speciation rates and richness data exist.

  

Source: Allesina, Stefano - Department of Ecology and Evolution, University of Chicago
Eawag Limnological Research Centre, Department Fish Ecology and Evolution
NONE
Vazquez, Diego - Instituto Argentino de Investigaciones de las Zonas Aridas, Centro Regional de Investigaciones Científicas y Tecnológicas

 

Collections: Biology and Medicine; Environmental Sciences and Ecology